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Jack Yihe Zhu, 413422 Brithorn Ln, Alameda, CA 94502

Known as:
Jack Y Zhu
Related to:
Qingsheng S Zhou 75

Jack Zhu Phones & Addresses

Alameda, CA   

Davis, CA   

Sunnyvale, CA   

Yolo, CA   

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Jack Zhu resumes & CV records

Resumes

Jack Zhu Photo 26

Independent Architecture & Planning Professional

Location:
United States
Industry:
Architecture & Planning
Jack Zhu Photo 27

Jack Zhu

Location:
Alameda, CA
Education:
University of California, Los Angeles 2012 - 2016
Jack Zhu Photo 28

Jack Zhu

Jack Zhu Photo 29

Jack Zhu

Location:
United States
Jack Zhu Photo 30

Jack Zhu - Davis, CA

Work:
State Street Corp Jun 2012 to 2000
Fund Accounting Manager - Officer City of Davis May 2010 to 2000
Commissioner - Finance & Budget Commission State Street Corp - Sacramento, CA Sep 2010 to Jun 2012
Fund Accounting Manager - Officer State Street Corp - Sacramento, CA Apr 2008 to Sep 2010
Conversion Analyst - Senior Associate State Street Corp - Sacramento, CA Jul 2006 to Apr 2008
Fund Accountant - Associate Office Of Governor Arnold Schwarzenegger - Sacramento, CA Apr 2006 to Jun 2006
Cabinet Affairs Intern Bank of Communications Jun 2005 to Jul 2005
International Settlements Intern Morgan Stanley - Hayward, CA Jul 2002 to Sep 2002
Financial Intern
Education:
University of California at Davis - Davis, CA Sep 2002 to Jun 2006
B.A. in Economics
Skills:
Languages: Fluent in Chinese (Mandarin), limited conversational knowledge of Spanish Computer Applications: Microsoft Office Suite, FrontPage, Visual C/C++
Jack Zhu Photo 31

Jack Zhu - Houston, TX

Work:
UC davis - Davis, CA May 2013 to Aug 2013
Research Assistant Huajin North Chemical - shenyang china May 2012 to Sep 2012
Process Engineer CO-OP Institute of Applied Ecology, Chinese Academy of Science - shenyang china May 2010 to Aug 2010
Engineering intern
Education:
University of Southern California - Los Angeles, CA 2012 to 2014
MS in Chemical Engineering shenyang University of tech - shenyang 2007 to 2011
BS in chemical engineering
Skills:
Master degree on chemical engineering , good know of unit operations, processes, and control P&ID, PFD, heat and mass balance,experience on Aspen Deep understanding and research experience on chemical process kinetic, modeling and development Strong ability in statistic analysis, design of experiments(DoE) on chemical process development Good at analyzing chemical processes, Professional team work dynamics knowledge from USC, a team work player

Publications & IP owners

Us Patents

Structure Scan Using Unmanned Aerial Vehicle

US Patent:
2022041, Dec 29, 2022
Filed:
Aug 18, 2022
Appl. No.:
17/890887
Inventors:
- Redwood City CA, US
Jack Zhu - San Mateo CA, US
Brian Richman - San Francisco CA, US
Harrison Zheng - Palo Alto CA, US
Hayk Martirosyan - San Francisco CA, US
Matthew Donahoe - Redwood City CA, US
Abraham Galton Bachrach - Emerald Hills CA, US
Adam Bry - Redwood City CA, US
International Classification:
G08G 5/00
G06F 3/04845
G06F 3/04817
G06T 17/05
G06T 19/00
G06F 3/04847
B64C 39/02
B64D 47/08
G05D 1/10
G05D 1/00
G08G 5/04
G01S 13/89
G01S 17/89
H04N 5/272
G06T 17/10
G06V 20/13
G06V 20/10
Abstract:
Described herein are systems and methods for structure scan using an unmanned aerial vehicle. For example, some methods include accessing a three-dimensional map of a structure; generating facets based on the three-dimensional map, wherein the facets are respectively a polygon on a plane in three-dimensional space that is fit to a subset of the points in the three-dimensional map; generating a scan plan based on the facets, wherein the scan plan includes a sequence of poses for an unmanned aerial vehicle to assume to enable capture, using image sensors of the unmanned aerial vehicle, of images of the structure; causing the unmanned aerial vehicle to fly to assume a pose corresponding to one of the sequence of poses of the scan plan; and capturing one or more images of the structure from the pose.

Applications And Skills For An Autonomous Unmanned Aerial Vehicle

US Patent:
2022040, Dec 22, 2022
Filed:
Apr 18, 2022
Appl. No.:
17/722522
Inventors:
- Redwood City CA, US
Jeffrey Robert DeCew - San Francisco CA, US
Matthew Joseph Donahoe - Redwood City CA, US
Mark Edward Rubin - San Jose CA, US
Adam Parker Bry - Redwood City CA, US
Abraham Galton Bachrach - Emerald Hills CA, US
Jack Louis Zhu - San Mateo CA, US
Kristen Marie Holtz - Menlo Park CA, US
Assignee:
Skydio, Inc. - Redwood City CA
International Classification:
G05D 1/00
B64D 47/08
B64C 39/02
G06F 9/54
G06N 20/00
G06F 8/20
Abstract:
A technique is described for developing and using applications and skills with an autonomous vehicle. In an example embodiment, a development platform is provided that enables access to a developer console for developing software modules for use with an autonomous vehicle. Using the developer console, a developer user can specify instructions for causing an autonomous vehicle to perform one or more operations. For example, to control the behavior of an autonomous vehicle, the instructions can cause an executing computer system at the autonomous vehicle to generate calls to an application programming interface (API) associated with an autonomous navigation system of autonomous vehicle. Such calls to the API can be configured to adjust a parameter of a behavioral objective associated with a trajectory generation process performed by the autonomous navigation system that controls the behavior of the autonomous vehicle. The instructions specified by the developer can be packaged as a software module that can be deployed for use at autonomous vehicle.

Roof Scan Using Unmanned Aerial Vehicle

US Patent:
2022040, Dec 22, 2022
Filed:
Aug 18, 2022
Appl. No.:
17/890889
Inventors:
- Redwood City CA, US
Jack Zhu - San Mateo CA, US
Brian Richman - San Francisco CA, US
Harrison Zheng - Palo Alto CA, US
Hayk Martirosyan - San Francisco CA, US
Matthew Donahoe - Redwood City CA, US
Abraham Galton Bachrach - Emerald Hills CA, US
Adam Bry - Redwood City CA, US
International Classification:
G08G 5/00
G06F 3/04845
G06F 3/04817
G06T 17/05
G06T 19/00
G06F 3/04847
B64C 39/02
B64D 47/08
G05D 1/10
G05D 1/00
G08G 5/04
G01S 13/89
G01S 17/89
H04N 5/272
G06T 17/10
G06V 20/13
G06V 20/10
Abstract:
Described herein are systems for roof scan using an unmanned aerial vehicle. For example, some methods include capturing, using an unmanned aerial vehicle, an overview image of a roof of a building from above the roof; presenting a suggested bounding polygon overlaid on the overview image to a user; determining a bounding polygon based on the suggested bounding polygon and user edits; based on the bounding polygon, determining a flight path including a sequence of poses of the unmanned aerial vehicle with respective fields of view at a fixed height that collectively cover the bounding polygon; fly the unmanned aerial vehicle to a sequence of scan poses with horizontal positions matching respective poses of the flight path and vertical positions determined to maintain a consistent distance above the roof; and scanning the roof from the sequence of scan poses to generate a three-dimensional map of the roof

Aerial Vehicle Smart Landing

US Patent:
2022023, Jul 28, 2022
Filed:
Feb 7, 2022
Appl. No.:
17/665811
Inventors:
- Redwood City CA, US
Hayk Martirosyan - Emerald Hills CA, US
Jack Louis Zhu - Redwood City CA, US
Adam Parker Bry - Redwood City CA, US
Matthew Joseph Donahoe - Redwood City CA, US
Abraham Galton Bachrach - San Francisco CA, US
Peter Benjamin Henry - San Francisco CA, US
Ryan David Kennedy - San Francisco CA, US
Assignee:
Skydio, Inc. - Redwood City CA
International Classification:
B64C 39/02
G06V 20/13
G06V 20/40
G06V 20/64
Abstract:
A technique is introduced for autonomous landing by an aerial vehicle. In some embodiments, the introduced technique includes processing a sensor data such as images captured by onboard cameras to generate a ground map comprising multiple cells. A suitable footprint, comprising a subset of the multiple cells in the ground map that satisfy one or more landing criteria, is selected and control commands are generated to cause the aerial vehicle to autonomously land on an area corresponding to the footprint. In some embodiments, the introduced technique involves a geometric smart landing process to select a relatively flat area on the ground for landing. In some embodiments, the introduced technique involves a semantic smart landing process where semantic information regarding detected objects is incorporated into the ground map.

Structure Scan Using Unmanned Aerial Vehicle

US Patent:
2023002, Jan 26, 2023
Filed:
Aug 18, 2022
Appl. No.:
17/890884
Inventors:
- Redwood City CA, US
Jack Zhu - San Mateo CA, US
Brian Richman - San Francisco CA, US
Harrison Zheng - Palo Alto CA, US
Hayk Martirosyan - San Francisco CA, US
Matthew Donahoe - Redwood City CA, US
Abraham Galton Bachrach - Emerald Hills CA, US
Adam Bry - Redwood City CA, US
International Classification:
G08G 5/00
G06F 3/04845
G06F 3/04817
G06T 17/05
G06T 19/00
G06F 3/04847
B64C 39/02
B64D 47/08
G05D 1/10
G05D 1/00
G08G 5/04
G01S 13/89
G01S 17/89
H04N 5/272
G06T 17/10
G06V 20/13
G06V 20/10
Abstract:
Described herein are systems and methods for structure scan using an unmanned aerial vehicle. For example, some methods include accessing a three-dimensional map of a structure; generating facets based on the three-dimensional map, wherein the facets are respectively a polygon on a plane in three-dimensional space that is fit to a subset of the points in the three-dimensional map; generating a scan plan based on the facets, wherein the scan plan includes a sequence of poses for an unmanned aerial vehicle to assume to enable capture, using image sensors of the unmanned aerial vehicle, of images of the structure; causing the unmanned aerial vehicle to fly to assume a pose corresponding to one of the sequence of poses of the scan plan; and capturing one or more images of the structure from the pose.

Automated Docking Of Unmanned Aerial Vehicle

US Patent:
2021027, Sep 9, 2021
Filed:
Mar 31, 2021
Appl. No.:
17/218483
Inventors:
- Redwood City CA, US
Jack Zhu - San Francisco CA, US
Gareth Cross - San Carlos CA, US
Teodor Tomic - Redwood City CA, US
Adam Bry - Redwood City CA, US
Abraham Galton Bachrach - Redwood City CA, US
International Classification:
B64F 1/00
B64F 1/12
Abstract:
Described herein are systems for automated docking of an unmanned aerial vehicle. For example, some systems include a landing surface configured to hold an unmanned aerial vehicle; a box configured to enclose the landing surface in a first arrangement of the dock and expose the landing surface in a second arrangement of the dock; and a retractable arm, wherein the landing surface is positioned at an end of the retractable arm and the retractable arm is configured to extend to move the landing surface outside of the box and contract to pull the landing surface inside of the box.

Automated Docking Of Unmanned Aerial Vehicle

US Patent:
2021027, Sep 9, 2021
Filed:
Mar 31, 2021
Appl. No.:
17/218807
Inventors:
- Redwood City CA, US
Jack Zhu - San Francisco CA, US
Gareth Cross - San Carlos CA, US
Teodor Tomic - Redwood City CA, US
Adam Bry - Redwood City CA, US
Abraham Galton Bachrach - Redwood City CA, US
International Classification:
B64F 1/00
B64F 1/12
Abstract:
Described herein are systems for automated docking of an unmanned aerial vehicle. For example, some systems include an unmanned aerial vehicle including a propulsion mechanism, a battery, and a processing apparatus; and a dock including a landing surface with a funnel geometry shaped to fit a bottom surface of the unmanned aerial vehicle at a base of the funnel, wherein tapered sides of the funnel form corners at the base of the funnel, and a battery charger configured to charge the battery of the unmanned aerial vehicle while the unmanned aerial vehicle is on the landing surface, wherein conducting contacts of the battery charger are on the landing surface, positioned at the bottom of the funnel.

Aerial Vehicle Touchdown Detection

US Patent:
2021027, Sep 2, 2021
Filed:
May 3, 2021
Appl. No.:
17/306204
Inventors:
- Redwood City CA, US
Teodor Tomic - Redwood City CA, US
Hayk Martirosyan - Emerald Hills CA, US
Abraham Galton Bachrach - San Francisco CA, US
Kristen Marie Holtz - Redwood City CA, US
Jack Louis Zhu - Redwood City CA, US
Assignee:
Skydio, Inc. - Redwood City CA
International Classification:
G05D 1/04
G06N 20/00
B64C 39/02
Abstract:
A technique is introduced for touchdown detection during autonomous landing by an aerial vehicle. In some embodiments, the introduced technique includes processing perception inputs with a dynamics model of the aerial vehicle to estimate the external forces and/or torques acting on the aerial vehicle. The estimated external forces and/or torques are continually monitored while the aerial vehicle is landing to determine when the aerial vehicle is sufficiently supported by a landing surface. In some embodiments, semantic information associated with objects in the environment is utilized to configure parameters associated with the touchdown detection process.

Possible Relatives

Dawei I Zhu  Dehua Zhu  Di Zhu  Dian C Zhu  Diana Zhu  Dong Zhu  Dongming Zhu  Jack W Johnson  Jack B Stanbro  Jack M Standefer 

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